similar to: add'l info: x86_64 reproducible server PANIC with latest kernel

Our Tyan VX50 server, which is otherwise stable, can be crashed by a specific user who starts a Java application. Relevant facts are: x86_64 CentOS 4.3 fully updated (but otherwise default config) 8 Dual-Core Opteron 870 (2 GHz), giving 16 cores 32 GB memory (running at DDR333) The panic is reproducible within a couple of minutes. I tried the 2.6.9-42 largesmp kernel from J.Baron's website

On Mon, Feb 5, 2018 at 8:27 AM, Kay Diederichs <kay.diederichs at uni-konstanz.de> wrote: > grub-install /dev/nvme0n1 Running this on computers with UEFI firmware is not good advice, it's an obsolete command. People should use the prebaked grubx64.efi binary that comes in the grub2-efi package, and is a signed binary so it can support UEFI Secure Boot. If you run grub2-install, a

On 01/16/2015 09:51 AM, Kay Diederichs wrote: > On 01/16/2015 05:05 AM, Devin Reade wrote: >> I've got a fresh CentOS 7 test machine, fully patched. The command: >> >> shutdown -h now >> >> surprisingly does not halt the machine. Instead it reboots it. WTF? >> >> I found the following Debian discussion which seems to be the same >>

Hi, Is it possible to create Rose Diagrams of wind data (speed & direction) with R?? Best regards, Lars Peters ----- Lars Peters University of Konstanz Limnological Institute D-78457 Konstanz Germany phone: +49 (0)7531 88-2930 fax: +49 (0)7531 88-3533 e-mail: Lars.Peters@Uni-Konstanz.de web: Lars Peters <http://www.uni-konstanz.de/sfb454/tp_eng/A1/doc/peters/peters.html>

Dear all, I've got a big problem. I try to analyse my data using R with a mixed model ANOVA without useful results and success. My data are as follows: 3 factors (Treatment, Site, Subsite) with 'Subsite' as random factor and nested into 'Site'. I want to analyse the effects of the three main effects (factorial design to a specified degrees (2)) with the interactions between

Hello, I've got a big problem. I'm using R for geostatistical analyses, especially the field-package. I try to generate plots after the kriging process with help of image.plot(..., col=terrain.colors, ...). Everything works fine, but I want to reverse the color-palettes (heat.colors, topo.colors or gray()) to get darkest colors at highest data-values instead the other way round. Could

Hi, I usually use lme from the nlme library. Now I have read an article about lmer in Rnews and lmer seemed to me more comfortable to use. Unfortunately, I didn't find out how to use covariance structures (e. g. corSymm(), corAR1()). Is there a way to use them similarly as in lme ? Is it implemented ? If somebody knows, please let me know. Thank you very much in advance, Stephan

Hi all, I have a strange problem and rigth now I can't figure out a solution. Trying to calculate an ANOVA with one between subject factor (group) and one within (hemisphere). My dependent variable is source localization (data). My N = 25. My data.frame looks like this: > ML.dist.stack subj group hemisphere data 1 1 tin left 0.7460840 2 2 tin left

Hello there, Dell XPS-15-9560 laptop (SSD drive, UEFI, secure boot off).. Windows 10 pre-installed, CentOS7 installed in a separate partition and running for months w/o issue. Don't know what happened but at reboot yesterday (not even booted in Windows, just rebooted), grub has disappeared, booted in Windows by default, which apparently has taken over the UEFI boot. By booting from a USB

Dear R community members, I think I am asking a very simple question, but I really looked up in the faqs and manuals and found nothing helpful. I am trying to plot a data frame with the following structure (this is just a small extract): glo conc odor line series X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 1 0 AIR LN1 UP -0.488

On 2020-07-13 05:09, Kay Diederichs wrote: > On 7/13/20 4:04 AM, Frank M. Ramaekers Jr. wrote: >> Since I upgraded to CentOS8, I cannot get HandBrakeCLI to work: I could not get HandBrake to work under CentOS 8, so I installed it under Zorin 15 (an Ubuntu-derived German distro). There, it works great. I did not try any of the other distros derived from Debian or Ubuntu itself. Todd

From: Kay Diederichs Sent: April 21, 2015 03:43 > On 04/21/2015 06:08 AM, Hugh E Cruickshank wrote: > > > > The second idea was to set each filesystem to a different random > > count value. This would run the risk of having two or more > > executions at the same time but it would probably not be very > > frequent. > > Using "tune2fs -c", set the

Hey, I have an double loop like this: chunk <- list(1:10, 11:20, 21:30) for(k in 1:length(chunk)){ print(chunk[k]) DummyCatcher <- NULL for(i in chunk[k]){ print("i load something") dummy <- 1 print("i do something") dummy <- dummy + 1 print("i do put it together") DummyCatcher = rbind(DummyCatcher, dummy) } print("i save a chunk

Hi, I got a computational problem with lme (nlme library R 1.9.1) using corSymm(). Here is the data: [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.19639793 0.09127954 0.11733288 0.07598273 0.06545106 0.06211532 [2,] 0.22773467 0.10981912 0.16052847 0.38101187 0.18353474 0.24072918 [3,] 0.46743388 0.45733836 0.32191178 0.43356107 0.39159746 0.53984221 [4,]

Trying following example from Pinheiro and Bates in order to fit an ARMA(1,1) model: library(nlme) fm1Ovary.lme<-lme(follicles~sin(2*pi*Time)+cos(*pi*Time),data=Ovary,random=p dDiag(~sin(2*pi*Time))) fm5Ovary.lme<-update(fm1Ovary.lme,corr=corARMA(p=1,q=1)) I get follwing error message: Error in "coef<-.corARMA"(`*tmp*`, value = c(62.3428455941166, 62.3428517930051 :

Dear all, I have a performance problem in terms of computing time. I estimate mixed models on a fairly large number of subgroups (10000) using lme(.) within the by(.) function and it takes hours to do the calculation on a fast notebook under Windows. I suspect by(.) to be a poor implementation for doing individual analysis on subgroups. Is there an alternative and more efficient way for doing

Hello, we currently set up a large tinc network with 2 central Nodes (these nodes connecting to each other). All satellites (ca 40) connect to these both machines. All containing two ConntectTo fields (for backup) e.g. (satellite) Name = nfp_hy Device = /dev/tun PrivateKeyFile = /etc/tinc/nfp_hy/rsa_key.priv ConnectTo = nfp_f_vpn ConnectTo = nfp_c_vpn If the count of satellites reaches

Dear all, I have a question about the chisq.test command. As an option one can chose the computation of p-values by Monte-Carlo simulation (simulate.p.value=T). Is there any documentation available how this calculations are done and how this simulation based test behaves in small samples? Thanks Klaus Abberger University of Konstanz, Germany [[alternate HTML version deleted]]

hi rsync-list, i have an authentication problem with my rsync-server. @ERROR auth failed on module XXX i`ve searched for an solution that fixes this problem in the mailinglist archives of rsync. but no one solves my problem. i`m running rsync version 2.5.6cvs protocol version 26 on debian 3.0 with kernel 2.4.22 my rsyncd.config looks like this: #######################################

Hi, I would like to report a bug in OpenSSH-1.2.2 (release) under Linux. Under certain conditions the sshd client process segfaults while doing the password authentification. I have observed the behaviour with glibc 2.0.7 (non-PAM), glibc 2.1.1 (PAM) and glibc 2.1.2 (PAM), when 'RhostsRSAAuthentication yes' is chosen in sshd_config. It appears to happen regardless whether PAM is used or